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User builds $16K CAD multi-GPU server for Qwen 3.8 FN model

A user has built a powerful multi-user inference server using four AMD R9700 GPUs, costing approximately $16,000 CAD. The system is configured with an EPYC 7402P CPU and 128GB of RAM, and initial benchmarks for the Qwen 3.8 FN model show promising performance. Specifically, the server can handle approximately 6,800 tokens/sec for prefill operations regardless of user count, and agent follow-ups process at 80-225 tokens/sec per user, even with up to 8 users each managing a 128K context. AI

IMPACT Demonstrates potential for high-concurrency, long-context inference on consumer-grade hardware.

RANK_REASON User-built hardware configuration and benchmark results for a specific model.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

User builds $16K CAD multi-GPU server for Qwen 3.8 FN model

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User-built hardware configuration and benchmark results for a specific model.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
1 days old
Coverage has settled into its steady-state source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Anarchaotic ·

    Joined the 4x R9700 Club | Initial Benchmarks for QFN 3.8 Below

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xrcia4/joined_the_4x_r9700_club_initial_benchmarks_for/"> <img alt="Joined the 4x R9700 Club | Initial Benchmarks for QFN 3.8 Below" src="https://preview.redd.it/m1hd0vwe4h0i1.jpeg?width=640&amp;crop=smart&am…